2020-06-22
501 reads
2020-06-22
501 reads
The SQL Server set statistics time statement displays the number of milliseconds to parse, compile, and execute a T-SQL query statement. This set statement is widely used to assess times to implement a query statement. The set statistics time statement reports the CPU time and elapsed time for performance tuning.
2020-05-08
Kendra Little talks about write ahead logging in SQL Server, one of the basic concepts that developers and DBAs should understand.
2024-06-12 (first published: 2020-01-20)
4,947 reads
This article discusses sp_PerfSQ a diagnostic tool designed to quantify performance features of database queries with active requests. It includes a behavioural parser and can assist in troubleshooting complex performance issues.
2021-12-24 (first published: 2019-12-02)
11,549 reads
2020-03-03 (first published: 2019-11-25)
10,752 reads
A forum question came up a few days ago regarding an abnormally large procedural cache. In an attempt to help out, I threw together a few ideas (some wrong, some right) and started looking at the types of query that were in the cache. A lot of the queries were in the format select * […]
2019-11-11
4,819 reads
2019-10-28
7,287 reads
2019-06-10
1,107 reads
Batch Cussidy In the last post, we looked at how S...
2019-05-24
2019-05-24
Ten years ago, I published a post about filming a Pluralsight Play by Play...
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
By alevyinroc
T-SQL Tuesday is a monthly blog party hosted by a different community member each...
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
Comments posted to this topic are about the item The Costs of Multiple Platforms
Comments posted to this topic are about the item RegEx Functions II
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers